{"id":"W2167212659","doi":"10.1001/jamaoto.2013.3001","title":"An Oral Cavity Carcinoma Nomogram to Predict Benefit of Adjuvant Radiotherapy<alt-title>Oral Cavity Adjuvant Radiotherapy Prediction Model</alt-title>","year":2013,"lang":"en","type":"article","venue":"JAMA Otolaryngology–Head & Neck Surgery","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nomogram; Oral cavity; Adjuvant; Radiation therapy; Adjuvant radiotherapy; Medicine; Internal medicine; Oncology; Dentistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289641,0.0006307302,0.0005225794,0.001642971,0.0003147124,0.0009992656,0.0005030161,0.0005108587,0.005558226],"category_scores_gemma":[0.008076273,0.0001425911,0.0009109725,0.0007475665,0.0001736019,0.0004135823,0.0004564127,0.0006190246,0.001145568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008196906,"about_ca_system_score_gemma":0.001160993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007171214,"about_ca_topic_score_gemma":0.007669023,"domain_scores_codex":[0.9995785,0.0002192473,0.00003106218,0.00006957522,0.00006704793,0.00003439696],"domain_scores_gemma":[0.9964417,0.002500031,0.0003327895,0.000147023,0.000376014,0.0002024599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009863168,0.0006843213,0.579903,0.0002154111,0.0004871358,0.0003771818,0.0001526882,0.2349599,0.0006553247,0.001063927,0.02267671,0.157838],"study_design_scores_gemma":[0.0001157849,0.0003080695,0.0658996,0.0001360407,0.0001763591,0.0002599052,0.0001598923,0.9277295,0.0004777421,0.001714322,0.002984555,0.00003826818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640592,0.001155432,0.1112589,0.002755706,0.0002697452,0.0005539075,0.01177027,0.001174968,0.007001869],"genre_scores_gemma":[0.9734101,0.0001551182,0.02125569,0.0001172152,0.00004290814,0.0002065001,0.003627055,0.00003289436,0.001152467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007171214,"threshold_uncertainty_score":0.01859409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169824052045473,"score_gpt":0.2799292480606002,"score_spread":0.2582310075401454,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}